Riding discomfort analysis of bus based on graph theory
ID:1914 View Protection:ATTENDEE Updated Time:2021-12-16 17:46:57 Hits:293 Poster Presentation

Start Time:2021-12-17 08:45(Asia/Shanghai)

Duration:1min

Session:P2 Poster2021 » P2T4Track 4 Transportation Behavior, Safety and Security

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Abstract
In order to reduce the discomfort of passengers and improve the service quality of buses, firstly, 18 real riding experiments were conducted to collect acceleration data of the bus and passengers' riding experience by using micro-electro-mechanical systems sensor (MEMS) and riding discomfort feedback module (RDFM). Then the data is preprocessed and the discomfort of passengers is divided into three levels: mild, moderate and severe. The coding rule of acceleration mutation and the graphic matrix of each discomfort level are established and drawn. Finally, statistical and ridge regression methods were used to quantitatively analyze the relationship between the coding and the discomfort and the duration of motion sickness. The results show that acceleration mutation in different axial directions will cause different degrees of riding discomfort. The sudden acceleration / deceleration and bumps of vehicles can significantly affect the duration of motion sickness.
Keywords
CICTP
Speaker
Minghui Xie
Chang’an University

Submission Author
MINGHUI XIE Chang'an University
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Important Date
  • Conference Date

    Dec 17

    2021

    to

    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Chang'an University
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